CI-P: Towards the Creation of a Unified Repository for MultiLingual and CrossLingual Multiword Expressions

CI-P：为多语言和跨语言多词表达式创建统一存储库

• 批准号: 1513116
• 负责人: Mona Diab
• 金额: $ 10万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1513116&HistoricalAwards=false
• 关键词: CI; Towards; Creation; Unified; Repository

Single concepts that cross word boundaries, such as kick the bucket and traffic light, are typically referred to as multiword expressions (MWE). MWE usage is pervasive in natural languages. MWEs pose a significant challenge from a processing perspective. Explicitly identifying, classifying, and modeling MWEs in text is shown to improve NLP technologies. The objective of this proposal is to conduct exploratory research and build consensus towards the creation of a Unified Repository for Multilingual and Cross-lingual MWE cutting across different languages (Arabic, Chinese, English, Spanish, Persian), genres and domains while adding contextual references and links to existing lexical resources. Understanding the space of MWE across different languages will have a significant impact on multilingual and cross-lingual NLP applications as well as studies in Linguistics in general. Such a large-scale resource will provide for a disciplined investigation into language universals and language-specific studies by adding insights into shared and varying cultural and language concepts as grounds for extensive typological and etymological studies of how concepts are formed across peoples. Multiword Expressions (MWE) occupy a significant portion of the semantic space. With deeper understanding of MWE, their nature, behavior and usage, natural language processing (NLP) practitioners can build more robust systems to achieve the goal of Natural Language Understanding (NLU). Looking at a diverse set of languages simultaneously would lead to more insights into language universals and language specific phenomena having profound impact in how we design overall natural language solutions. The objective of this proposal is to conduct exploratory research and build consensus towards the creation of a Unified Repository for Multilingual and Cross-lingual MWE cutting across different genres and domains while adding contextual references and links to existing lexical resources such as WordNet. The vision is for a repository that is consistently annotated with links across 5 different languages: Arabic, Chinese, English, Spanish, and Persian. This grant will support the following: i) investigating universal linguistic information that is common across MWEs in various languages as well as identifying differentiating features that are language-specific or found in typologically related languages; ii) conducting pilot annotation studies on essential annotation tasks; iii) building the basic infrastructure for harvesting, storing, and annotating the data; iv) developing tools to bootstrap the envisioned resource from existing resources; and, v) Organizing two 2-day workshops to gather input from leading researchers in the field and to build consensus on key issues for such a resource.

跨越单词边界的单个概念（例如“kick the bucket”和“交通灯”）通常称为多单词表达式 (MWE)。 MWE 的使用在自然语言中非常普遍。从处理的角度来看，MWE 提出了重大挑战。显式识别、分类和建模文本中的 MWE 可以改进 NLP 技术。 该提案的目标是进行探索性研究并建立共识，为跨不同语言（阿拉伯语、中文、英语、西班牙语、波斯语）、流派和领域的多语言和跨语言 MWE 创建统一存储库，同时添加上下文引用和现有词汇资源的链接。了解 MWE 跨不同语言的空间将对多语言和跨语言 NLP 应用以及一般语言学研究产生重大影响。如此大规模的资源将通过增加对共享和不同文化和语言概念的见解，作为对不同民族概念如何形成的广泛类型学和词源学研究的基础，为语言共性和特定语言研究提供严谨的调查。多词表达式 (MWE) 占据了语义空间的很大一部分。随着对 MWE 及其本质、行为和用法的更深入了解，自然语言处理（NLP）从业者可以构建更强大的系统来实现自然语言理解（NLU）的目标。同时研究多种语言将有助于深入了解语言共性和语言特定现象，这对我们设计整体自然语言解决方案的方式产生深远影响。该提案的目标是进行探索性研究并建立共识，为跨不同流派和领域的多语言和跨语言 MWE 创建统一存储库，同时添加上下文引用和现有词汇资源（例如 WordNet）的链接。我们的愿景是建立一个带有 5 种不同语言链接的一致注释的存储库：阿拉伯语、中文、英语、西班牙语和波斯语。 这笔赠款将支持以下内容：i）调查各种语言的 MWE 中常见的通用语言信息，以及识别特定于语言或在类型相关的语言中发现的差异化特征； ii) 对基本注释任务进行试点注释研究； iii) 构建用于收集、存储和注释数据的基础设施； iv) 开发工具以从现有资源中引导预期资源； v) 组织两次为期 2 天的研讨会，收集该领域领先研究人员的意见，并就此类资源的关键问题达成共识。